We understand regulatory policy problems against the backdrop of existing implementations of a regulatory framework. There
are argument schemes for proposing a policy and for criticising a proposal, rooted in a shared understanding that there is
an existing regulatory framework which is implemented in social structures in society, yet has problems. The problems with
the existing implementations may be attributed either to those implementations or to the constraints imposed by the regulatory
framework. In this paper we propose that calls for change of regulatory policy, and case-based and statistical evidence produced
in support of policy proposals, are based in model-based problem solving activities. This perspective suggests schemes for
a good argument pro or con a policy proposal, while avoiding the problem of backing up claims and evidence on the policy level
with a conjectural deep model of the policy domain.

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